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20768: Developing SQL 2016 Data Models Training & Certification Course

Overview

Developing SQL Data Models course imparts core skills to implement multidimensional databases using SSAS (SQL Server Analysis Services), and create tabular semantic data models for analysis. This Microsoft business intelligence course SSAS training is meant for database professionals who create enterprise BI solutions in order to fulfill the role of a BI Developer. This SQL Data Model Development course is also suitable for power users, information workers, and data analysts. The primary audience for this Microsoft business intelligence course are database professionals who need to fulfill BI Developer role to create enterprise BI solutions.

Primary responsibilities will  include:

• Implementing multidimensional databases by using SQL Server Analysis Services
• Creating tabular semantic data models for analysis by using SQL Server Analysis Services

After completing 20768: Developing SQL 2016 Data Models Certification course, students will be able to:

  • Describe the components, architecture, and nature of a BI solution
  • Create a multidimensional database with Analysis Services
  • Implement dimensions in a cube
  • Implement measures and measure groups in a cube
  • Use MDX syntax
  • Customize a cube
  • Implement a tabular database
  • Use DAX to query a tabular model
  • Use data mining for predictive analysis

 

Prerequisite

Experience of querying data using Transact-SQL

Recommended course

55042: SharePoint 2013 Business Intelligence

Full Description

Module 1: Introduction to Business Intelligence and Data Modelling

This module introduces key BI concepts and the Microsoft BI product suite.

Lessons

  1. Introduction to Business Intelligence
  2. The Microsoft business intelligence platform

Lab: Exploring a BI Solution

  • Exploring a Data Warehouse
  • Exploring a data model

After completing this module, students will be able to:

  • Describe BI scenarios, trends, and project roles.
  • Describe the products that make up the Microsoft BI platform.

 

Module 2: Creating Multidimensional Databases

This module describes how to create multidimensional databases using SQL Server Analysis Services.

Lessons

  1. Introduction to Multidimensional Analysis
  2. Data Sources and Data Source Views
  3. Cubes
  4. Overview of Cube Security
  5. Configure SSAS  Monitoring SSAS

Lab: Creating a multidimensional database

  • Creating a Data Source
  • Creating and Configuring a data Source View
  • Creating and Configuring a Cube
  • Adding a Dimension to a Cube

After completing this module, you will be able to:

  • Describe considerations for a multidimensional database.
  • Create data sources and data source views.
  • Create a cube
  • Implement security in a multidimensional database.
  • Configure SSAS to meet requirements including memory limits, NUMA and disk layout.
  • Monitor SSAS performance.

 

Module 3: Working with Cubes and Dimensions

This module describes how to implement dimensions in a cube.

Lessons

  1. Configuring Dimensions
  2.  Defining Attribute Hierarchies
  3. Implementing Sorting and Grouping Attributes
  4. Slowly Changing Dimensions

Lab: Working with Cubes and Dimensions

  • Configuring Dimensions
  • Defining Relationships and Hierarchies
  • Sorting and Grouping Dimension Attributes

After completing this module, you will be able to: 

  • Configure dimensions.
  • Define attribute hierarchies.
  • Implement sorting and grouping for attributes.
  • Implement slowly changing dimensions.

 

Module 4: Working with Measures and Measure Groups

This module describes how to implement measures and measure groups in a cube.

Lessons

  1.  Working with Measures
  2. Working with Measure Groups

Lab: Configuring Measures and Measure Groups

  • Configuring Measures
  • Defining Regular Relationships
  • Configuring Measure Group Storage

After completing this module, you will be able to:

  • Configure measures.
  • Configure measure groups.

 

Module 5: Introduction to MDX

This module describes the MDX syntax and how to use MDX.

Lessons

  1. MDX fundamental
  2. Adding Calculations to a Cube
  3. Using MDX to Query a Cube

Lab: Using MDX

  • Querying a cube using MDX
  • Adding a Calculated Member

After completing this module, you will be able to:

  • Use basic MDX functions.
  • Use MDX to add calculations to a cube.
  • Use MDX to query a cube.

 

Module 6: Customizing Cube Functionality

This module describes how to customize a cube.

Lessons

  1. Implementing Key Performance Indicators
  2. Implementing Actions
  3. Implementing Perspectives
  4. Implementing Translations

Lab : Customizing a Cube

  • Implementing an action
  • Implementing a perspective
  • Implementing a translation

After completing this module, you will be able to:

  • Implement KPIs in a Multidimensional database
  • Implement Actions in a Multidimensional database
  • Implement perspectives in a Multidimensional database
  • Implement translations in a Multidimensional database

 

Module 7: Implementing a Tabular Data Model by Using Analysis Services

This module describes how to implement a tabular data model in Power Pivot.

Lessons

  1. Introduction to Tabular Data Models
  2. Creating a Tabular Data Model
  3. Using an Analysis Services Tabular Data Model in an Enterprise BI Solution

Lab : Working with an Analysis Services Tabular Data Model

Creating an Analysis Services Tabular Data Model

Configure Relationships and Attributes

Configuring Data Model for an Enterprise BI Solution.

After completing this module, students will be able to:

  • Describe tabular data models
  • Describe how to create a tabular data model
  • Use an Analysis Services Tabular Model in an enterprise BI solution

 

Module 8: Introduction to Data Analysis Expression (DAX)

This module describes how to use DAX to create measures and calculated columns in a tabular data model.

Lessons

  1. DAX Fundamentals
  2. Using DAX to Create Calculated Columns and Measures in a Tabular Data Model

Lab: Creating Calculated Columns and Measures by using DAX

  • Creating Calculated Columns
  • Creating Measures
  • Creating a KPI
  • Creating a Parents Child Hierarchy

After completing this module, students will be able to:

  • Describe the key features of DAX
  • Create calculated columns and measures by using DAX

 

Module 9: Performing Predictive Analysis with Data Mining

This module describes how to use data mining for predictive analysis.

Lessons

  1. Overview of Data Mining
  2. Creating a Custom Data Mining Solution
  3. Validating a Data Mining Model
  4. Connecting to and Consuming a Data-Mining Model
  5. Using the Data Mining add-in for Excel

Lab: Using Data Mining

  • Creating a Data Mining Structure and Model
  • Exploring Data Mining Models
  • Validating Data Mining Models
  • Consuming a Data Mining Model
  • Using the Excel Data Mining add-in

Fees & Schedule

Delivery Mode Course Duration Fees
Live Virtual Training 3 Days Ask for Quote
Onsite Classroom Training 3 Days Ask for Quote
Customized Training 3 Days Ask for Quote

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